{\setlength{\tabcolsep}{2pt}
{\footnotesize 
{ \renewcommand{\arraystretch}{1.2} 
\begin{table} 
\resizebox{\linewidth}{!}{%
\begin{tabular}{cc ccc ccc ccc} 
\hline  
 Method & &  $\alpha_{1}$ &  $\alpha_{a}$ &  $\alpha_{\rho}$ &  $\alpha_{\lambda}$ &  $\beta_{1}$ &  $\beta_{a}$ &  $\beta_{\rho}$ &  $\beta_{\lambda}$ &  $\sigma^{2}_{y}$  \\ \hline  \hline
\rowcolor{LightCyan} 
DA & Mean 
 & 0.5237  & 1.4728  & -1.0636  & -4.5935  & -0.1528  & -0.2435  & -0.3597  & -0.3546  & 60304.0388  \\  [0.75ex] 
 & (Std) 
 & (0.0789)  & (0.0577)  & (0.0848)  & (0.0342)  & (0.0737)  & (0.0593)  & (0.0734)  & (0.0400)  & (31899.8849)  \\  [0.75ex] 
 & ESS 
 & 92.1519  & 14.0130  & 7.4609  & 772.4804  & 91.2627  & 41.9414  & 7.0857  & 897.7971  & 23.2485  \\  [0.75ex] 
[546.57 s]  & ESS/sec. 
 &\BD{ 0.1686 } & \BD{0.0256}  & \BD{0.0137}  & 1.4133  &\BD{ 0.1670}  &\BD{ 0.0767}  &\BD{ 0.0130}  & 1.6426  & 0.0425  \\  [1.3ex] 
\rowcolor{LightCyan} 
Adapt10 & Mean 
 & 0.5066  & 1.4375  & -1.0158  & -4.5995  & -0.1564  & -0.2422  & -0.3056  & -0.3516  & 54231.8215  \\  [0.75ex] 
 & (Std) 
 & (0.0728)  & (0.0684)  & (0.0814)  & (0.0344)  & (0.0860)  & (0.0547)  & (0.0523)  & (0.0399)  & (29860.4376)  \\  [0.75ex] 
 & ESS 
 & 272.3042  & 35.9344  & 29.3711  & 447.0765  & 199.2170  & 90.9200  & 14.0585  & 1182.5860  & 12.7817  \\  [0.75ex] 
[467.98 s]  & ESS/sec. 
 &\BD{ 0.5819 } &\BD{ 0.0768}  & \BD{0.0628}  & 0.9553  & \BD{0.4257 } &\BD{ 0.1943}  &\BD{ 0.0300}  & 2.5270  & 0.0273  \\  [1.3ex] 
\rowcolor{LightCyan} 
Adapt20 & Mean 
 & 0.5103  & 1.4302  & -0.9793  & -4.6014  & -0.1604  & -0.2473  & -0.2786  & -0.3506  & 78142.7950  \\  [0.75ex] 
 & (Std) 
 & (0.0744)  & (0.0611)  & (0.0860)  & (0.0342)  & (0.0930)  & (0.0625)  & (0.0731)  & (0.0405)  & (55405.5828)  \\  [0.75ex] 
 & ESS 
 & 192.7619  & 48.3845  & 20.9504  & 621.5856  & 240.4306  & 67.1679  & 16.1128  & 1374.1801  & 9.0383  \\  [0.75ex] 
[476.10 s]  & ESS/sec. 
 & 0.4049  & 0.1016  & 0.0440  & 1.3056  & 0.5050  & 0.1411  & 0.0338  & 2.8864  & 0.0190  \\  [1.3ex] 
\rowcolor{LightCyan} 
Adapt30 & Mean 
 & 0.5032  & 1.4067  & -0.9476  & -4.6047  & -0.1603  & -0.2575  & -0.2769  & -0.3487  & 90729.8362  \\  [0.75ex] 
 & (Std) 
 & (0.0715)  & (0.0582)  & (0.0887)  & (0.0333)  & (0.0877)  & (0.0686)  & (0.0762)  & (0.0408)  & (67770.5016)  \\  [0.75ex] 
 & ESS 
 & 198.3400  & 75.1023  & 10.9019  & 780.7273  & 311.6207  & 53.1447  & 9.5349  & 1347.2322  & 10.5054  \\  [0.75ex] 
[481.91 s]  & ESS/sec. 
 & 0.4116  & 0.1558  & 0.0226  & 1.6201  & 0.6466  & 0.1103  & 0.0198  & 2.7956  & 0.0218  \\  [1.3ex] 
\rowcolor{LightCyan} 
Bin10 & Mean 
 & 0.5079  & 1.4131  & -0.9769  & -4.6027  & -0.1801  & -0.2433  & -0.2907  & -0.3486  & 54858.3382  \\  [0.75ex] 
 & (Std) 
 & (0.0778)  & (0.0535)  & (0.0766)  & (0.0349)  & (0.0972)  & (0.0582)  & (0.0442)  & (0.0394)  & (28163.1931)  \\  [0.75ex] 
 & ESS 
 & 154.2204  & 51.7452  & 28.0626  & 485.7228  & 90.8788  & 58.2478  & 10.4116  & 1130.4550  & 24.3974  \\  [0.75ex] 
[482.31 s]  & ESS/sec. 
 & 0.3198  & 0.1073  & 0.0582  & 1.0071  & 0.1884  & 0.1208  & 0.0216  & 2.3438  & 0.0506  \\  [1.3ex] 
\rowcolor{LightCyan} 
Bin20 & Mean 
 & 0.5158  & 1.4602  & -1.0592  & -4.5970  & -0.1508  & -0.2513  & -0.3148  & -0.3527  & 46587.4824  \\  [0.75ex] 
 & (Std) 
 & (0.0723)  & (0.0622)  & (0.0992)  & (0.0343)  & (0.0814)  & (0.0525)  & (0.0573)  & (0.0405)  & (24829.5403)  \\  [0.75ex] 
 & ESS 
 & 229.5891  & 65.1823  & 32.7716  & 1048.9743  & 301.3473  & 79.5967  & 24.6180  & 1387.3161  & 30.7586  \\  [0.75ex] 
[494.07 s]  & ESS/sec. 
 & \BD{0.4647}  & \BD{0.1319 } & \BD{0.0663}  & 2.1231  & \BD{0.6099}  &\BD{ 0.1611}  &\BD{ 0.0498 } & 2.8079  & 0.0623  \\  [1.3ex] 
\rowcolor{LightCyan} 
Bin30 & Mean 
 & 0.5307  & 1.4960  & -1.1099  & -4.5900  & -0.1493  & -0.2551  & -0.3237  & -0.3560  & 39585.5821  \\  [0.75ex] 
 & (Std) 
 & (0.0751)  & (0.0689)  & (0.1067)  & (0.0354)  & (0.0725)  & (0.0484)  & (0.0639)  & (0.0394)  & (14790.5820)  \\  [0.75ex] 
 & ESS 
 & 128.2115  & 34.1876  & 21.9258  & 389.6824  & 279.8521  & 70.4673  & 16.2828  & 1111.8395  & 59.2702  \\  [0.75ex] 
[495.51 s]  & ESS/sec. 
 & 0.2587  & 0.0690  & 0.0442  & 0.7864  & 0.5648  & 0.1422  & 0.0329  & 2.2438  & 0.1196  \\  [1.3ex] 
\rowcolor{LightCyan} 
Exact & Mean 
 & 0.5040  & 1.4039  & -0.9314  & -4.6029  & -0.1578  & -0.2414  & -0.2429  & -0.3487  & 83594.1723  \\  [0.75ex] 
 & (Std) 
 & (0.0720)  & (0.0573)  & (0.0897)  & (0.0345)  & (0.0876)  & (0.0591)  & (0.0623)  & (0.0402)  & (69705.5892)  \\  [0.75ex] 
 & ESS 
 & 204.0982  & 44.1686  & 13.9194  & 658.6839  & 306.0706  & 69.1700  & 18.3051  & 887.0637  & 12.5373  \\  [0.75ex] 
[939.20 s]  & ESS/sec. 
 & 0.2173  & 0.0470  & 0.0148  & 0.7013  & 0.3259  & 0.0736  & 0.0195  & 0.9445  & 0.0133  \\  [1.3ex] 
 \\  \hline 
\multicolumn{11}{p{11cm}}{\footnotesize{ESS: at lag equal to the lowest order at which sample autocorrelation is not significant.}}  \\ 
\multicolumn{11}{p{11cm}}{\footnotesize{Computing times  (in seconds) in square brackets.}}  \\ 
\end{tabular}
}
\caption{Lapwings data: posterior means, standard deviations and effective sample sizes (ESS) of the model parameters for $M=10,000$ posterior draws after a burn-in of $10,000$.
ESS/sec for the SSM parameters for the methods illustrated in Figure \ref{fig:lapwings_theta_acf} in bold.}
\label{tab:BKM_theta}  
\end{table}
}} \normalsize